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Агент-ориентированный подход к обоснованию государственной пространственной политики
Новикова, Т. С., Цыплаков, А.А., Novikova, Tatyana S., Tsyplakov, Aleksandr A.
of welfare in particular. To address this problem, we propose an extended agent-based model with interrelated
Концепция инструментальной платформы маркетинговой деятельности в среде облачных вычислений с использованием интеллектуальных технологий
Вишняков, В. А., Казак, Е. А., Vishniakou, U. A., Kazak, E. A.
activity the crtiating instrumental platform on the multy agent technology conjuncting intelligence
Factors of determinism, uncertainty and stochasticity in stock and commodity markets
Safiullin N., Safiullin B., Schnaider O.
, the economic theory of multi-dimensional stock and commodity market in the green economy is considered
Modeling of Metal Flow during Processing by Multi-ECAP-Conform
Fakhretdinova E., Raab G., Valiev R.
modeling study of a new technique of severe plastic deformation called Multi-ECAP-Conform, ensuring a high
Institutional challenges and economic agents forming a competitive market environment
Kireeva-Karimova A.
(organization) as a slice of society on a global scale is the agent of a competitive market environment
Elements of conceptual thinking in planning the behavior of autonomous intelligent agents [Элементы понятийного мышления в планировании поведения автономных интеллектуальных агентов*]
Melekhin V.B., Khachumov M.V.
by autonomous intelligent agents. A model of knowledge representation and tools for deriving solutions
Experimental Basosquamous Carcinoma Model in Rats
Snarskaya E., Pylev L., Akhunzyanov A., Kuznetсova E.
,12-dimethylbenz(a)anthracene (DMBA) can initiate skin tumorigenesis in conventional furred mouse models by acting
PHARMACOPHORE MODELING, 3D-QSAR, DOCKING AND DRUG LIKELINESS PREDICTION OF ANTITUBULIN AGENTS
Akhtar W., Verma G., Khan M.F., Shaquiquzzaman M., Alam M.M.
PHARMACOPHORE MODELING, 3D-QSAR, DOCKING AND DRUG LIKELINESS PREDICTION OF ANTITUBULIN AGENTS
Multi-Instance Learning Approach to Predictive Modeling of Catalysts Enantioselectivity
Zankov D., Polishchuk P., Madzhidov T., Varnek A.
Here, we report an application of the multi-instance learning approach to predictive modeling
Specifics of Information and Communication Component of Youth Political and Volunteer Leadership
Karabuschenko N.B., Pilishvili T.S., Shtyrev M.M.
of the theoretical model of youth leadership by performing comparative analysis of the information and communication

Страница 33 из 5693

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